Triple
T17517170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tensilica Xtensa LX6 |
E426597
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | Espressif ESP32-S0WD |
—
|
NE NERFINISHED |
How this triple was built (3 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Espressif ESP32-S0WD | Statement: [Tensilica Xtensa LX6, usedIn, Espressif ESP32-S0WD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Espressif ESP32-S0WD Context triple: [Tensilica Xtensa LX6, usedIn, Espressif ESP32-S0WD]
-
A.
ESP32-DevKitC
ESP32-DevKitC is a compact, official Espressif development board designed to prototype and evaluate ESP32 Wi‑Fi and Bluetooth microcontroller applications.
-
B.
ESP32 microcontrollers
ESP32 microcontrollers are low-cost, low-power Wi-Fi and Bluetooth-enabled system-on-chips from Espressif, widely used for IoT, embedded, and hobbyist electronics projects.
-
C.
Espressif Systems
Espressif Systems is a Chinese semiconductor company best known for designing low-cost, Wi‑Fi and Bluetooth-enabled microcontroller chips widely used in IoT and embedded applications.
-
D.
Raspberry Pi Pico
Raspberry Pi Pico is a low-cost, microcontroller-based development board from the Raspberry Pi Foundation built around the RP2040 chip for embedded and hobbyist projects.
-
E.
Silicon Labs EFM32 microcontrollers
Silicon Labs EFM32 microcontrollers are ultra-low-power 32-bit MCUs designed for energy-efficient embedded applications such as IoT, wearables, and battery-powered devices.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Espressif ESP32-S0WD Target entity description: The Espressif ESP32-S0WD is a low-power, dual-core Wi-Fi and Bluetooth microcontroller SoC widely used in IoT and embedded applications.
-
A.
ESP32-DevKitC
ESP32-DevKitC is a compact, official Espressif development board designed to prototype and evaluate ESP32 Wi‑Fi and Bluetooth microcontroller applications.
-
B.
ESP32 microcontrollers
chosen
ESP32 microcontrollers are low-cost, low-power Wi-Fi and Bluetooth-enabled system-on-chips from Espressif, widely used for IoT, embedded, and hobbyist electronics projects.
-
C.
Espressif Systems
Espressif Systems is a Chinese semiconductor company best known for designing low-cost, Wi‑Fi and Bluetooth-enabled microcontroller chips widely used in IoT and embedded applications.
-
D.
Raspberry Pi Pico
Raspberry Pi Pico is a low-cost, microcontroller-based development board from the Raspberry Pi Foundation built around the RP2040 chip for embedded and hobbyist projects.
-
E.
Silicon Labs EFM32 microcontrollers
Silicon Labs EFM32 microcontrollers are ultra-low-power 32-bit MCUs designed for energy-efficient embedded applications such as IoT, wearables, and battery-powered devices.
- F. None of above.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452615a8481909974e9855ea7a8e4 |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:49 a.m.